# Numora Statistics Histogram

> Numora Statistics Histogram is a paid API for AI agents from numormor.netlify.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).

Computes a frequency histogram from a numeric data array, returning bin edges and counts for distribution analysis

## Facts

- Endpoint: POST https://numormor.netlify.app/api/statistics/histogram
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/numora-statistics-histogram-b0524435
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_L2xx-yMDCU3eStymPWooZ

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability numora-statistics-histogram-b0524435 -d '<json body>'
```

Example prompt: Can you compute a histogram with 10 bins for this dataset: [3.2, 5.1, 2.8, 7.4, 6.0, 1.9, 4.5, 8.3, 5.5, 3.7, 6.8, 2.1, 7.0, 4.9, 5.3]?

## When to prefer this

Choose this endpoint when you need a pure server-side histogram computation with no external dependencies — ideal for AI agents that need fast, deterministic frequency distribution analysis over a numeric array without spinning up a Python/NumPy environment. Prefer it over general-purpose code execution APIs when you want a lightweight, single-purpose math call with micropayment billing.

## Known failure modes

- Empty data array returns an error — data must have at least one element
- Non-numeric values in the data array may cause a computation failure
- Bins value of zero or negative integer may return an error or default behavior
- Very large datasets may exceed payload limits
- Payment failure via x402 returns a 402 status before computation runs

## How this service works

100 pure math computation endpoints for AI agents. Statistics, financial math, linear algebra, equation solving, calculus, number theory, sequence generation, and unit conversions. Zero external dependencies. x402 micropayments on Base.

## Output

Returns a JSON object with success=true, a computation string describing what was calculated, and a result object containing histogram bin edges and the count of data points falling within each bin, representing the full frequency distribution of the input array.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "data"
 ],
 "properties": {
  "bins": {
   "type": "integer"
  },
  "data": {
   "type": "array"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "success",
  "result",
  "computation"
 ],
 "properties": {
  "result": {
   "type": "object",
   "description": "Computation result varies by endpoint"
  },
  "success": {
   "type": "boolean",
   "description": "Always true on success"
  },
  "computation": {
   "type": "string",
   "description": "Human-readable description of what was computed"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/numora-statistics-histogram-b0524435/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from numormor.netlify.app](https://www.zero.xyz/host/numormor.netlify.app/llms.txt)